Rosharon, TX
How exposed is Rosharon to wildfire?
Rosharon's 695 buildings earn a 80th-percentile wildfire-risk score nationally under USFS's model — in USFS's highest wildfire-risk band nationally. (Source: USFS's Wildfire Risk to Communities methodology.)
Separately from the risk score above, Rosharon's burn probability — fire likelihood with no building count factored in — sits at the 84th percentile nationally.
What "at risk" means for the buildings here
87.9% of Rosharon's 695 buildings sit in USFS's Direct exposure zone, roughly 611 structures close enough to burnable vegetation for flame contact, not just embers — 12.1% fall in the Indirect, ember-only zone and 0% are Minimal.
Where Rosharon ranks
Inside Texas, Rosharon sits at just the 61st percentile even though it scores 80th nationally — the state's overall wildfire exposure is high enough to make this a relatively quiet corner of it. Among the 31,521 US communities USFS scores, Rosharon ranks 6,285 for wildfire risk (1 is highest) and 14,727 by building count (1 is largest). Within Texas alone, it ranks 696 of 1,795 places by risk. See the full county-by-county picture for Texas on its state page.
Shopping for coverage in Rosharon
Rosharon's 80th-percentile, very high rating is the kind of score behind a broader national pattern: insurers pulling back from the highest wildfire-risk markets, non-renewing or declining new policies outright, most visibly in California. Shopping around, not assuming automatic renewal, tends to matter here.
Lowering exposure, not just insuring around it
With 87.9% of Rosharon in Direct exposure, defensible-space clearing and ember-resistant construction (vents, Class-A roofing) address the exposure this page's own numbers describe, not a generic checklist. See the home-hardening guide.
Where Rosharon's figures come from
The methodology guide shows exactly how USFS turned 695 counted buildings into the percentiles shown above for Rosharon. The exposure-zones guide covers what Rosharon's dominant direct exposure actually means, with real examples from across the dataset.